Mass Producing Equity Research Reports with AI and Python!

Hi, I’m John, a CFA Charterholder. I invest globally in stocks, bonds, and cash. If you find this content helpful, please like, comment, and subscribe to help grow the channel. Thanks for watching!

My Mission: Encourage everyone to Invest Early, Invest Often, Stay Invested, and Diversify!

Tags: portfolio theory, investment strategy, asset allocation, diversification, modern portfolio theory, risk management, investment portfolio, efficient frontier, risk vs return, capital market line, optimal portfolio, portfolio optimization, ETF investing, index funds, stock market investing, portfolio risk, financial planning, long-term investing, passive investing, active investing, investment analysis, financial education, investment tips, investing for beginners, personal finance, Chatgpt 4o, Llama3, Anthropic, AI, LLM

Create a 1-hour Python training course for beginners covering the following topics in the image.

Ensure the course is designed for someone using Pycharm on a Microsoft PC. Integrate Pycharm tips and shortcuts into each section of the course. Add code examples. Make sure there are practice problems after each topic designed to reinfoce my learning, include what the terminal output or output should look like. For the Pycharm tips, include shortcuts like running code, commenting/uncommenting lines, and debugging, and make sure these tips are mentioned during relevant parts of the course, not just at the end. Don't included setting up the ide and downloading python.